ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models

1 February 2024

Papers citing "ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models"

5 / 5 papers shown

Title
Noiser: Bounded Input Perturbations for Attributing Large Language Models Mohammad Reza Ghasemi Madani Aryo Pradipta Gema Gabriele Sarti Yu Zhao Pasquale Minervini Andrea Passerini AAML 30 0 0 03 Apr 2025
Watson: A Cognitive Observability Framework for the Reasoning of LLM-Powered Agents Benjamin Rombaut Sogol Masoumzadeh Kirill Vasilevski Dayi Lin Ahmed E. Hassan LRM 26 0 0 05 Nov 2024
Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization G. Chrysostomou Zhixue Zhao Miles Williams Nikolaos Aletras HILM 34 10 0 15 Nov 2023
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann Tosin P. Adewumi Karmanya Aggarwal Pawan Sasanka Ammanamanchi Aremu Anuoluwapo ... Nishant Subramani Wei-ping Xu Diyi Yang Akhila Yerukola Jiawei Zhou VLM 246 283 0 02 Feb 2021
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,244 0 16 Jan 2013